Bemi vs Constat: Which is Better in 2026?
A comprehensive comparison of Bemi and Constat covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Bemi if:
- →You want a free tier to get started without commitment
- →You want more affordable paid plans (from $19/mo)
- →You need connects to existing postgresql databases in minutes with no write permissions required or captures every insert, update and delete without triggers or schema changes
Choose Constat if:
- →You need a broader feature set (7 features vs 6)
- →You need one shared corpus spanning clearance, postmarket and reimbursement or precedent module for 'devices like mine' predicate answers across 1,491 parsed devices
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Bemi vs Constat: At a Glance
Pricing Comparison: Bemi vs Constat
Understanding the pricing differences between Bemi and Constat is crucial for making the right choice. Here's how their plans compare side by side.
Constat Pricing
💡 Pricing takeaway: Bemi has an edge with a free tier, letting you start without commitment. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Bemi and Constat stacks up.
What Makes Each Tool Unique
🔵 Unique to Bemi
Features available in Bemi but not in Constat:
- ✓Connects to existing PostgreSQL databases in minutes with no write permissions required
- ✓Captures every insert, update and delete without triggers or schema changes
- ✓ORM integration enriches each change with application context (user, endpoint, request)
- ✓Audit data stored outside the primary database so production tables stay lean
- ✓Unlimited data retention on paid plans
- ✓Enterprise controls: static IP, custom data residency, advanced permissions
🟣 Unique to Constat
Features available in Constat but not in Bemi:
- ✓One shared corpus spanning clearance, postmarket and reimbursement
- ✓Precedent module for 'devices like mine' predicate answers across 1,491 parsed devices
- ✓Postmarket drift signals — 1,499 devices snapshotted, 8,558 signals
- ✓40 documented reimbursement pathways traced
- ✓Every record source-linked to the live FDA or CMS source
- ✓MCP server so AI agents can query the corpus directly
- ✓Bounded one-time evidence assessments and monthly monitored briefs
Use Case Recommendations
Best for: Bemi
Bemi is an automatic audit trail for PostgreSQL. It connects to an existing database in a few clicks using logical replication, without needing write permissions or schema changes, and captures every insert, update and delete as a durable, queryable change record. The pitch is that most teams eventually need a change history for compliance, debugging or customer support, and end up building it themselves with triggers, shadow tables and application-level hooks that drift out of sync with the schema. Bemi captures changes at the database level instead, so nothing has to be remembered in application code. Where it goes beyond raw change-data-capture is context: an ORM integration enriches each captured change with the application-side facts that make it legible later — which user made the change, from which endpoint, in which request — so an audit row reads as an action rather than a diff. Captured data is stored outside the primary database, which keeps audit volume from bloating production tables. The product is aimed at teams in regulated or support-heavy environments who need to answer 'who changed this record, when, and why' without an engineering project each time. Plans include a 14-day free trial, support and a dedicated Slack channel, and the higher tiers add SOC 2 and HIPAA posture, static-IP connections, custom data residency and advanced permissions.
Ideal use cases:
- •Teams or individuals who need connects to existing postgresql databases in minutes with no write permissions required
- •Teams or individuals who need captures every insert, update and delete without triggers or schema changes
- •Teams or individuals who need orm integration enriches each change with application context (user, endpoint, request)
- •Teams or individuals who need audit data stored outside the primary database so production tables stay lean
- •Anyone focused on postgres workflows
- •Anyone focused on audit-log workflows
Best for: Constat
Constat is a search and monitoring layer over FDA AI/ML medical-device evidence, built for the regulatory, quality, clinical-evidence and market-access teams who currently assemble this picture by hand across separate government databases. It unifies the device lifecycle into one corpus: 510(k) summaries and predicate chains on the clearance side, MAUDE adverse events, recalls, warning letters and Form 483s on the postmarket side, and documented reimbursement pathways on the payment side. The published scale is specific rather than vague — 1,491 devices parsed for the Precedent module, 1,499 devices snapshotted with 8,558 signals for Postmarket, and 40 pathways traced for Reimbursement. Every result is source-linked back to the underlying FDA or CMS record, which is the property that makes it usable in a submission rather than only in exploratory work. The Precedent module answers the 'devices like mine' question that drives predicate selection; Postmarket surfaces per-device drift signals over time. Constat also ships an MCP server and AI-workflow surface, so an agent can query the corpus directly. Alongside self-serve search it sells bounded services: a one-time evidence assessment and a configured monthly monitoring brief.
Ideal use cases:
- •Teams or individuals who need one shared corpus spanning clearance, postmarket and reimbursement
- •Teams or individuals who need precedent module for 'devices like mine' predicate answers across 1,491 parsed devices
- •Teams or individuals who need postmarket drift signals — 1,499 devices snapshotted, 8,558 signals
- •Teams or individuals who need 40 documented reimbursement pathways traced
- •Anyone focused on fda workflows
- •Anyone focused on medical-devices workflows
📊 Other Data & Analytics Tools to Consider
Bemi and Constat aren't the only options. Here are other popular tools in the same space:
Databricks AI
Enterprise AI and data lakehouse platform
Akkio
No-code predictive AI for business analysts
Hex
Data workspace with AI analysis and apps
MindsDB
AI layer for databases with SQL ML
Obviously AI
No-code ML platform for predictions
Julius AI
Chat with your data for instant analysis
Is one of these your tool?
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Frequently Asked Questions
Is Bemi better than Constat?
It depends on your needs. Bemi offers 6 key features including Connects to existing PostgreSQL databases in minutes with no write permissions required and Captures every insert, update and delete without triggers or schema changes, while Constat provides 7 features including One shared corpus spanning clearance, postmarket and reimbursement and Precedent module for 'devices like mine' predicate answers across 1,491 parsed devices. Bemi uses a paid model with a free tier, while Constat is paid. Choose based on which features and pricing model align with your requirements.
Is Bemi cheaper than Constat?
Bemi is cheaper, starting at $19/month compared to Constat's $5,000/month. Bemi offers a free tier, making it easier to get started. Always check the official websites for the most current pricing.
Can I use Bemi and Constat together?
Yes, many users combine Bemi and Constat in their workflow. Bemi excels at connects to existing postgresql databases in minutes with no write permissions required, while Constat shines with one shared corpus spanning clearance, postmarket and reimbursement. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Bemi and Constat?
While both are data & analytics tools, Bemi emphasizes connects to existing postgresql databases in minutes with no write permissions required, whereas Constat is known for one shared corpus spanning clearance, postmarket and reimbursement. The best choice depends on your specific workflow and feature priorities.
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